Negativity drives online news consumption
CE Robertson, N Pröllochs, K Schwarzenegger… - Nature Human …, 2023 - nature.com
Online media is important for society in informing and shaping opinions, hence raising the
question of what drives online news consumption. Here we analyse the causal effect of …
question of what drives online news consumption. Here we analyse the causal effect of …
Using natural language processing to analyse text data in behavioural science
Abstract Language is a uniquely human trait at the core of human interactions. The
language people use often reflects their personality, intentions and state of mind. With the …
language people use often reflects their personality, intentions and state of mind. With the …
Bleak prospects and targeted actions for achieving the Sustainable Development Goals
At the mid-point to 2030, progress towards achieving the Sustainable Development Goals
(SDGs) varies significantly across countries. While the classification of countries can lay the …
(SDGs) varies significantly across countries. While the classification of countries can lay the …
How firms realign to tackle the grand challenge of climate change: An innovation ecosystems perspective
This study investigates how, why, and under which conditions incumbents and new entrants
realign in innovation ecosystems to collectively tackle the grand challenge (GC) of climate …
realign in innovation ecosystems to collectively tackle the grand challenge (GC) of climate …
Consistent and replicable estimation of bilateral climate finance
International climate finance is key to achieving the goals of the Paris Agreement. Here we
develop a machine learning classifier to identify international climate finance from 2.7 million …
develop a machine learning classifier to identify international climate finance from 2.7 million …
Prediction of phosphate adsorption amount, capacity and kinetics via machine learning: A generally physical-based process and proposed strategy of using …
B Zhou, H Li, Z Wang, H Huang, Y Wang… - Chemical Engineering …, 2024 - Elsevier
The use of machine learning to predict phosphate adsorption performance by specific
adsorbent holds great promise due to its ability to save time and reveal underlying …
adsorbent holds great promise due to its ability to save time and reveal underlying …
Aid administration and sustainable development in post-COVID-19 era in Africa: a review of literature approach
GAN Salifu, Z Salifu - Cogent Social Sciences, 2024 - Taylor & Francis
This paper contributes to the ongoing discourse surrounding aid administration for
sustainable development in the post-COVID-19 era. African economies experienced a 1.5 …
sustainable development in the post-COVID-19 era. African economies experienced a 1.5 …
[HTML][HTML] A fused large language model for predicting startup success
Investors are continuously seeking profitable investment opportunities in startups and,
hence, for effective decision-making, need to predict a startup's probability of success …
hence, for effective decision-making, need to predict a startup's probability of success …
Digital Sustainability Strategies: Digitally Enabled and Digital-First Innovation for Net Zero
While we live in times of pervasive digital transformation, the world faces a physical
challenge: climate change. Addressing it requires the global economy to achieve net-zero …
challenge: climate change. Addressing it requires the global economy to achieve net-zero …
Causal machine learning for cost-effective allocation of development aid
The Sustainable Development Goals (SDGs) of the United Nations provide a blueprint of a
better future by" leaving no one behind", and, to achieve the SDGs by 2030, poor countries …
better future by" leaving no one behind", and, to achieve the SDGs by 2030, poor countries …